AI Field Engineer - Infrastructure Scaling
Overview
Own end-to-end AI infrastructure scaling for enterprise and AI-native clients. Lead discovery and production deployments from initial contact to live customer environments. Partner with VP Engineering and CTO-level leaders to drive technical wins. Work remotely with occasional travel to US hubs.
What You'll Do6
- 1Run full pre-sales field cycle including discovery POC scoping model evaluations and final model selection
- 2Ship production code deploying open-model LLMs using vLLM SGLang and TensorRT-LLM
- 3Act as true partner to sales shaping deal strategy beyond advisory support
- 4Build relationships across engineering and executive teams to move deals forward
- 5Deploy and fine-tune LLMs while maintaining hyperscaler infrastructure on AWS Azure or GCP
- 6Collaborate with AI/ML engineers to debug inference trade-offs and resolve production issues
Requirements6
- 13+ years client-facing AI/ML role with hands-on experience in LLM inference and fine-tuning
- 2Strong Python skills and familiarity with GPU infrastructure and Kubernetes
- 3Hyperscaler experience in AWS Azure or GCP with production workloads
- 4Background building AI features natively at AI-native companies or SaaS firms
- 5Full-time availability with willingness to travel to enterprise customers across US
- 6Visa sponsorship available for appropriate candidates
Salary Insight
$176 - $224k per year
Location
Required Skills
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